
Quromorphic
@quromorphic_fet
ID: 1164821539700658176
23-08-2019 08:48:52
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A huge thank you to Prof. Dr. Michael J. Hartmann hartmanngroup from FAU Erlangen-Nbg for his introductory talk about Quantum Computing at our monthly IMPRS meeting! Their latest research, collaborating with the ETH Quantum Device LAB Quantum Device Lab, can be found here: arxiv.org/abs/2109.05909.




Check out the next Quantum Device Lab ETH Physics ETH Zurich talk by Johannes Herrmann at the #apsmarch meeting in Chicago. T37.10 : "Realizing #Quantum Convolutional Neural Networks on a Superconducting Quantum Processor to Recognize Quantum Phases" arxiv.org/abs/2109.05909 Quromorphic


Big day for Quromorphic at #APSMarchMeeting. We've got upcoming talks from Johannes Hermann (ETH Physics ), Stefan Filipp (quantum@WMI), Aneirin Baker (Heriot-Watt University), and Nathan McMahon (hartmanngroup).



Sunny day in Bremen today, where Michael will give a colloquium on our recent work on quantum convolutional neural networks resulting from a nice collaboration with Quantum Device Lab within the Quromorphic project.


New Quantum Device Lab ETH Physics Quantum Center, ETH Zurich, Switzerland ETH Zurich paper on "Realizing #quantum convolutional neural networks on a superconducting quantum processor to recognize quantum phases" out in Nature Communications today. Free to read link: rdcu.be/cROYl web: disq.us/t/497hw5q 1/1


This research was supported by IARPA Swiss National Science Foundation @OpenSuperQ Quantum Flagship Quromorphic PSI Paul Scherrer Institut ETH Foundation ETH Zürich. arXiv.org : arxiv.org/abs/2212.01077


MQV members at FAU Erlangen-Nbg and Max Planck Institute for the Science of Light are co-organizing the 2023 Quromorphic Winter Workshop: "Quantum Machine Learning - Integrating Hardware and Software Developments", held at MPL 14–16 Feb 2023. Application deadline: 8 Jan 2023 More details: munich-quantum-valley.de/news-events/ev…


New preprint arxiv.org/abs/2212.06663 on optimizing quantum policy gradient with classical action decoding that requires reading out all qubits. Nice collaboration with Fraunhofer IIS. Quromorphic QuantumComputingFAU Munich Quantum Valley




Did you know neural networks can learn to predict quantum many-body dynamics? For regimes of many-body localization they can even extrapolate beyond the time window and system size they have been trained on: arxiv.org/abs/2302.04621 QuantumComputingFAU Quromorphic Naeimeh Mohseni


Two theory follow-ups on symmetry-protected topological quantum phase recognition using QCNNs from FAU Erlangen-Nbg researchers 𝗡𝗮𝘁𝗵𝗮𝗻 𝗠𝗰𝗠𝗮𝗵𝗼𝗻 on renormalisation through the lens of QCNNs and Petr Zapletal on error-tolerant QCNN structures #Quromorphic Quromorphic
